Mobile multi-view object image search
Mobile multi-view object image search
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DOI：
10.1007/s11042-016-3659-9
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发表时间：
2017-05-01
影响因子：
3.6
通讯作者：
Gudukbay, Ugur
中科院分区：
文献类型：
--
作者：
Calisir, Fatih;Bastan, Muhammet;Gudukbay, Ugur
移动的设备的高用户交互能力可以帮助提高移动的视觉搜索系统的准确性。在查询时，可以用移动终端相机从不同视角和以不同比例捕获对象的多个视图，以获得与单个视图相比更丰富的关于对象的信息，并因此返回更准确的结果。基于此，我们提出了一种新的多视点视觉查询模型，用于移动的视觉搜索。对移动的客户端获取的目标多视图图像进行处理，并将局部特征发送到服务器，服务器将查询图像表示与早/晚融合方法相结合，返回查询结果。我们进行了全面的分析，早期和晚期融合方法，使用各种相似性函数，现有的单视图和一个新的多视图对象图像数据库。实验结果表明，多视图搜索提供了显着更好的检索精度相比，传统的单视图搜索。
High user interaction capability of mobile devices can help improve the accuracy of mobile visual search systems. At query time, it is possible to capture multiple views of an object from different viewing angles and at different scales with the mobile device camera to obtain richer information about the object compared to a single view and hence return more accurate results. Motivated by this, we propose a new multi-view visual query model on multi-view object image databases for mobile visual search. Multi-view images of objects acquired by the mobile clients are processed and local features are sent to a server, which combines the query image representations with early/late fusion methods and returns the query results. We performed a comprehensive analysis of early and late fusion approaches using various similarity functions, on an existing single view and a new multi-view object image database. The experimental results show that multi-view search provides significantly better retrieval accuracy compared to traditional single view search.